Asked by Anonymous
I need to find the critical value of what I have here so far, and I am stuck can someone please help?
Percent of children depressed: 4.3%
1250= n
4.3/100= s/1250
53.75= sample mean
n=sample size
After, mid 2010:
Percent of children depressed: 5%
100= n
5/100= s/100
5= sample mean
n= sample size
Null hypothesis: p= 0.043
Alternative hypothesis: p> 0.043
q= 1-p= 1- .05= .95
z= (.05-.043)/ sq rt(.043*.95/1250)
z= 1.224
Percent of children depressed: 4.3%
1250= n
4.3/100= s/1250
53.75= sample mean
n=sample size
After, mid 2010:
Percent of children depressed: 5%
100= n
5/100= s/100
5= sample mean
n= sample size
Null hypothesis: p= 0.043
Alternative hypothesis: p> 0.043
q= 1-p= 1- .05= .95
z= (.05-.043)/ sq rt(.043*.95/1250)
z= 1.224
Answers
Answered by
MathGuru
If you are trying to compare your test statistic to a critical value from a z-table, then use the significance level to determine the cutoff point. For example, if the significance level is .05 for a one-tailed test (alternative hypothesis shows a specific direction), then check the z-table and you will find the critical value to be +1.645. If the z-value you calculated is +1.224, then the null will not be rejected and you cannot conclude a difference in the population.
I hope this helps and is what you were asking.
I hope this helps and is what you were asking.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.